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Arthur Danjou
2025-02-06 13:11:31 +01:00
parent b0646dfb96
commit f77bd7b184
1 changed files with 68 additions and 59 deletions
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127
M1/Statistical Learning/TP2_KNN.ipynb
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@@ -62,8 +62,8 @@
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@@ -73,8 +73,8 @@
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@@ -117,7 +117,7 @@
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@@ -179,7 +179,7 @@
"y = iris.target"
],
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"execution_count": 123
"execution_count": 3
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{
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@@ -192,8 +192,8 @@
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@@ -211,7 +211,7 @@
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@@ -224,8 +224,8 @@
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@@ -234,7 +234,7 @@
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)"
],
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@@ -249,8 +249,8 @@
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@@ -272,7 +272,7 @@
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@@ -303,7 +303,7 @@
" return np.linalg.norm(sample1 - sample2, axis=1) ** 2"
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@@ -329,8 +329,8 @@
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@@ -365,14 +365,14 @@
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@@ -385,7 +385,7 @@
" return Counter(y_train[nearest_neighbors]).most_common(1)[0][0]"
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@@ -415,8 +415,8 @@
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@@ -431,19 +431,19 @@
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@@ -456,19 +456,19 @@
"np.int64(10)"
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@@ -481,19 +481,19 @@
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@@ -506,12 +506,12 @@
"array([4, 6])"
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@@ -525,8 +525,8 @@
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@@ -544,19 +544,19 @@
" [6, 7]]])"
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"source": "b.sum(axis=0), b.sum(axis=1), b.sum(axis=2), b.sum()",
@@ -573,12 +573,12 @@
" np.int64(28))"
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@@ -601,17 +601,16 @@
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},
"source": [
"#Answer for Optional question 1\n",
"def euc_dis_mat(sample1, sample2):\n",
" return np.linalg.norm(sample1 - sample2, axis=1) ** 2"
],
"outputs": [],
"execution_count": 173
"execution_count": 16
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@@ -636,20 +635,30 @@
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},
"source": [
"# Answer for Optional question 2\n",
"def knn_class_2(X_train, y_train, x_new, K):\n",
" X_new = np.tile(x_new, (len(X_train), 1))\n",
" distances = euc_dis_mat(X_train, X_new)\n",
" k_neighbors = np.argsort(distances)[:K]\n",
" return Counter(y_train[k_neighbors]).most_common()[0][0]"
],
"outputs": [],
"execution_count": 174
"outputs": [
{
"data": {
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"np.int64(1)"
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{
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